Scalable personalized medicine with active learning: detecting seizures with minimum labeled data. - Guha Balakrishnan; Zeeshan Syed (IHI, 2010)

Strategy and mechanism lessons from the first ad auctions trading agent competition. - Patrick R. Jordan; Michael P. Wellman; Guha Balakrishnan (EC, 2010)

Scalable customization of atrial fibrillation detection in cardiac monitoring devices: Increasing detection accuracy through personalized monitoring in large patient populations. - Kuk Jin Jang; Guha Balakrishnan; Zeeshan Syed; Naveen Verma (EMBC, 2011)

Scalable Personalization of Long-Term Physiological Monitoring: Active Learning Methodologies for Epileptic Seizure Onset Detection. - Guha Balakrishnan; Zeeshan Syed (AISTATS, 2012)

Detecting Pulse from Head Motions in Video. - Guha Balakrishnan; Frédo Durand; John V. Guttag (CVPR, 2013)

Video diff: highlighting differences between similar actions in videos. - Guha Balakrishnan; Frédo Durand; John V. Guttag (ACM Trans. Graph., 2015)

A Video-Based Method for Objectively Rating Ataxia. - Ronnachai Jaroensri; Amy Zhao; Guha Balakrishnan; Derek Lo; Jeremy D. Schmahmann; John V. Guttag; Frédo Durand (CoRR, 2016)

A Video-Based Method for Automatically Rating Ataxia. - Ronnachai Jaroensri; Amy Zhao; Guha Balakrishnan; Derek Lo; Jeremy D. Schmahmann; Frédo Durand; John V. Guttag (MLHC, 2017)

Synthesizing Images of Humans in Unseen Poses. - Guha Balakrishnan; Amy Zhao; Adrian V. Dalca; Frédo Durand; John V. Guttag (CVPR, 2018)

An Unsupervised Learning Model for Deformable Medical Image Registration. - Guha Balakrishnan; Amy Zhao; Mert R. Sabuncu; John V. Guttag; Adrian V. Dalca (CVPR, 2018)

Unsupervised Learning for Fast Probabilistic Diffeomorphic Registration. - Adrian V. Dalca; Guha Balakrishnan; John V. Guttag; Mert R. Sabuncu (MICCAI (1), 2018)

Fast Learning-based Registration of Sparse Clinical Images. - Kathleen M. Lewis; Guha Balakrishnan; Natalia S. Rost; John V. Guttag; Adrian V. Dalca (CoRR, 2018)

Data Augmentation Using Learned Transformations for One-Shot Medical Image Segmentation. - Amy Zhao; Guha Balakrishnan; Frédo Durand; John V. Guttag; Adrian V. Dalca (CVPR, 2019)

Visual Deprojection: Probabilistic Recovery of Collapsed Dimensions. - Guha Balakrishnan; Adrian V. Dalca; Amy Zhao; John V. Guttag; Frédo Durand; William T. Freeman (ICCV, 2019)

Data augmentation using learned transforms for one-shot medical image segmentation. - Amy Zhao; Guha Balakrishnan; Frédo Durand; John V. Guttag; Adrian V. Dalca (CoRR, 2019)

Unsupervised learning of probabilistic diffeomorphic registration for images and surfaces. - Adrian V. Dalca; Guha Balakrishnan; John V. Guttag; Mert R. Sabuncu (Medical Image Anal., 2019)

VoxelMorph: A Learning Framework for Deformable Medical Image Registration. - Guha Balakrishnan; Amy Zhao; Mert R. Sabuncu; John V. Guttag; Adrian V. Dalca (IEEE Trans. Medical Imaging, 2019)

Painting Many Pasts: Synthesizing Time Lapse Videos of Paintings. - Amy Zhao; Guha Balakrishnan; Kathleen M. Lewis; Frédo Durand; John V. Guttag; Adrian V. Dalca (CVPR, 2020)

Towards Causal Benchmarking of Bias in Face Analysis Algorithms. - Guha Balakrishnan; Yuanjun Xiong; Wei Xia; Pietro Perona (ECCV (18), 2020)

When and Why Test-Time Augmentation Works. - Divya Shanmugam; Davis W. Blalock; Guha Balakrishnan; John V. Guttag (CoRR, 2020)

Better Aggregation in Test-Time Augmentation. - Divya Shanmugam; Davis W. Blalock; Guha Balakrishnan; John V. Guttag (ICCV, 2021)

Matched sample selection with GANs for mitigating attribute confounding. - Chandan Singh; Guha Balakrishnan; Pietro Perona (CoRR, 2021)

Leveling Down in Computer Vision: Pareto Inefficiencies in Fair Deep Classifiers. - Dominik Zietlow; Michael Lohaus; Guha Balakrishnan; Matthäus Kleindessner; Francesco Locatello; Bernhard Schölkopf; Chris Russell 001 (CVPR, 2022)

Rayleigh EigenDirections (REDs): Nonlinear GAN Latent Space Traversals for Multidimensional Features. - Guha Balakrishnan; Raghudeep Gadde; Aleix Martinez; Pietro Perona (ECCV (17), 2022)

MINER: Multiscale Implicit Neural Representation. - Vishwanath Saragadam; Jasper Tan; Guha Balakrishnan; Richard G. Baraniuk; Ashok Veeraraghavan (ECCV (23), 2022)

Rayleigh EigenDirections (REDs): GAN latent space traversals for multidimensional features. - Guha Balakrishnan; Raghudeep Gadde; Aleix Martinez; Pietro Perona (CoRR, 2022)

MINER: Multiscale Implicit Neural Representations. - Vishwanath Saragadam; Jasper Tan; Guha Balakrishnan; Richard G. Baraniuk; Ashok Veeraraghavan (CoRR, 2022)

Improving Denoising Diffusion Probabilistic Models via Exploiting Shared Representations. - Delaram Pirhayatifard; Mohammad Taha Toghani; Guha Balakrishnan; César A. Uribe (ACSSC, 2023)

SplineCam: Exact Visualization and Characterization of Deep Network Geometry and Decision Boundaries. - Ahmed Imtiaz Humayun; Randall Balestriero; Guha Balakrishnan; Richard G. Baraniuk (CVPR, 2023)

WIRE: Wavelet Implicit Neural Representations. - Vishwanath Saragadam; Daniel LeJeune; Jasper Tan; Guha Balakrishnan; Ashok Veeraraghavan; Richard G. Baraniuk (CVPR, 2023)

Benchmarking Algorithmic Bias in Face Recognition: An Experimental Approach Using Synthetic Faces and Human Evaluation. - Hao Liang; Pietro Perona; Guha Balakrishnan (ICCV, 2023)

CT Reconstruction from Few Planar X-Rays with Application Towards Low-Resource Radiotherapy. - Yiran Sun; Tucker J. Netherton; Laurence E. Court; Ashok Veeraraghavan; Guha Balakrishnan (DGM4MICCAI, 2023)

Towards causally linking architectural parametrizations to algorithmic bias in neural networks. - Hao Liang; Josue Ortega Caro; Vikram Maheshri; Ankit B. Patel; Guha Balakrishnan (CoRR, 2023)

Visualizing chest X-ray dataset biases using GANs. - Hao Liang; Kevin Ni; Guha Balakrishnan (CoRR, 2023)

X-ray Recognition: Patient identification from X-rays using a contrastive objective. - Hao Liang; Kevin Ni; Guha Balakrishnan (CoRR, 2023)

F?D: On understanding the role of deep feature spaces on face generation evaluation. - Krish Kabra; Guha Balakrishnan (CoRR, 2023)

GELDA: A generative language annotation framework to reveal visual biases in datasets. - Krish Kabra; Kathleen M. Lewis; Guha Balakrishnan (CoRR, 2023)

ElasticDiffusion: Training-free Arbitrary Size Image Generation. - Moayed Haji-Ali; Guha Balakrishnan; Vicente Ordonez (CoRR, 2023)

ElasticDiffusion: Training-Free Arbitrary Size Image Generation Through Global-Local Content Separation. - Moayed Haji-Ali; Guha Balakrishnan; Vicente Ordonez (CVPR, 2024)

DRAGON: Drone and Ground Gaussian Splatting for 3D Building Reconstruction. - Yujin Ham; Mateusz Michalkiewicz; Guha Balakrishnan (ICCP, 2024)

Learning Transferable Features for Implicit Neural Representations. - Kushal Kardam Vyas; Ahmed Imtiaz Humayun; Aniket Dashpute; Richard G. Baraniuk; Ashok Veeraraghavan; Guha Balakrishnan (NeurIPS, 2024)

MadEye: Boosting Live Video Analytics Accuracy with Adaptive Camera Configurations. - Mike Wong 003; Murali Ramanujam; Guha Balakrishnan; Ravi Netravali (NSDI, 2024)

Linking convolutional kernel size to generalization bias in face analysis CNNs. - Hao Liang; Josue Ortega Caro; Vikram Maheshri; Ankit B. Patel; Guha Balakrishnan (WACV, 2024)

Metric-guided Image Reconstruction Bounds via Conformal Prediction. - Matt Y. Cheung; Tucker J. Netherton; Laurence E. Court; Ashok Veeraraghavan; Guha Balakrishnan (CoRR, 2024)

Taming Data and Transformers for Audio Generation. - Moayed Haji-Ali; Willi Menapace; Aliaksandr Siarohin; Guha Balakrishnan; Sergey Tulyakov; Vicente Ordonez (CoRR, 2024)

Fairness and Bias Mitigation in Computer Vision: A Survey. - Sepehr Dehdashtian; Ruozhen He; Yi Li 051; Guha Balakrishnan; Nuno Vasconcelos; Vicente Ordonez; Vishnu Naresh Boddeti (CoRR, 2024)

DIFR3CT: Latent Diffusion for Probabilistic 3D CT Reconstruction from Few Planar X-Rays. - Yiran Sun; Hana Baroudi; Tucker J. Netherton; Laurence E. Court; Osama Mawlawi; Ashok Veeraraghavan; Guha Balakrishnan (CoRR, 2024)

Generative Precipitation Downscaling using Score-based Diffusion with Wasserstein Regularization. - Yuhao Liu; James Doss-Gollin; Guha Balakrishnan; Ashok Veeraraghavan (CoRR, 2024)

Regression Conformal Prediction under Bias. - Matt Y. Cheung; Tucker J. Netherton; Laurence E. Court; Ashok Veeraraghavan; Guha Balakrishnan (CoRR, 2024)

Not all Views are Created Equal: Analyzing Viewpoint Instabilities in Vision Foundation Models. - Mateusz Michalkiewicz; Sheena Bai; Mahsa Baktashmotlagh; Varun Jampani; Guha Balakrishnan (CoRR, 2024)

Bias for Action: Video Implicit Neural Representations with Bias Modulation. - Alper Kayabasi; Anil Kumar Vadathya; Guha Balakrishnan; Vishwanath Saragadam (CVPR, 2025)

When are Diffusion Priors Helpful in Sparse Reconstruction? A Study with Sparse-View CT. - Matt Y. Cheung; Sophia Zorek; Tucker J. Netherton; Laurence E. Court; Sadeer Al-Kindi; Ashok Veeraraghavan; Guha Balakrishnan (ISBI, 2025)

Classifying Coronary Artery Calcification Risk using Radiomics from Non-Gated CT Scans. - Sandra Emi Sato Imuro; Salman Siddique Khan; Eman Nayaz Ahmed; Deeksha Sarda; Guha Balakrishnan; Sadeer Al-Kindi; Ashutosh Sabharwal (ISBI, 2025)

TranSplat: Lighting-Consistent Cross-Scene Object Transfer with 3D Gaussian Splatting. - Boyang Yu; Yanlin Jin; Ashok Veeraraghavan; Akshat Dave; Guha Balakrishnan (CoRR, 2025)

Post-Hurricane Debris Segmentation Using Fine-Tuned Foundational Vision Models. - Kooshan Amini; Yuhao Liu; Jamie E. Padgett; Guha Balakrishnan; Ashok Veeraraghavan (CoRR, 2025)

GIQ: Benchmarking 3D Geometric Reasoning of Vision Foundation Models with Simulated and Real Polyhedra. - Mateusz Michalkiewicz; Anekha Sokhal; Tadeusz Michalkiewicz; Piotr Pawlikowski; Mahsa Baktashmotlagh; Varun Jampani; Guha Balakrishnan (CoRR, 2025)

GViT: Representing Images as Gaussians for Visual Recognition. - Jefferson Hernandez; Ruozhen He; Guha Balakrishnan; Alexander C. Berg; Vicente Ordonez (CoRR, 2025)